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《Journal of Anhui University(Natural Sciences)》 2009-04
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Parameters selection of SVM based on breeding algorithm

WANG Dong-xia1,ZHANG Nan2,LU Xiao-li(1.Department of Computer Science,Jiyuan Vocational and Technical College,Jiyuan 454650,China;2.Department of Mathematics,Northwest University,Xi'an 710127,China;3.School of Public Management,Northwest University,Xi'an 710127,China)  
The learning performance of Support Vector Machines(SVM) was due to parameters selection.Based on a hybrid algorithm,the article proposed breeding of support vector machine parameters optimization model,the seeds or particle corresponded fitly as a cross validation method of test sample collection of data,constituted the recognition of the hybrid algorithm based on support vector machine,and the numerical experiments showed that this method was feasible.
【Fund】: 河南省科技攻关基金资助项目(072102310088);; 河南省自然科学基金资助项目(2008A520018)
【CateGory Index】: TP181
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